Pairwise benchmark snapshot · Aug 16, 2026
In this head-to-head showdown, DeepSeek V4 Pro delivers higher overall intelligence and human-preferred responses (Elo 1,536 vs 1,398), while DeepSeek V4 Pro leads in SWE-bench software engineering benchmarks (71.6%), while Qwen3.8 27B is more budget-friendly at $0.4/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.
10 direct benchmark disciplines evaluated across capability, speed, and cost
Open-weight-adjacent DeepSeek flagship. High reasoning density per dollar.
Alibaba open-weight 27B drop dated Aug 14 2026. Dense enough to self-host; not a frontier MoE.
Currently comparing DeepSeek V4 Pro vs Qwen3.8 27B. Alternative family tiers available.
Simulate accuracy gains vs added response time & token cost
Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.
Δ 138 Arena Elo pts
152 tok/s
$0.4 / 1M output
Relative percentile scores computed across all active models in the benchmark catalog.
Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.
Category wins across reasoning intelligence, generation speed, and token cost.
Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy
Generation throughput and time to first token responsiveness
Cost per million tokens and max context window length
| Benchmark | DeepSeek V4 Pro | Qwen3.8 27B | Advantage Delta |
|---|---|---|---|
| Preference Elo | +138 | ||
| Coding Elo | +122 | ||
| LiveBench | +9.5% | ||
| SWE-bench | +12.8% | ||
| GPQA Diamond | +10.6% | ||
| Time to first token | +270 ms | ||
| Output speed | 70 tok/s | 152 tok/s | +82 tok/s |
| Input price | $0.4/1M | +$0.3/1M | |
| Output price | $1.6/1M | +$1.2/1M | |
| Context window | +29k |
Simulate monthly production API costs in USD (US Dollar).
Qwen3.8 27B is estimated to save $28.50/month ($342/year).
Higher SWE-bench (71.6%).
Lower output list price ($0.4/1M).
Lower TTFT (140 ms).
Larger window (160k).
DeepSeek V4 Pro is the side marked multimodal in the catalog.
| Target Workload | Recommended Pick | Evaluation Rationale |
|---|---|---|
| Repo / coding agents | DeepSeek V4 Pro | Higher SWE-bench (71.6%). |
| High-volume chat | Qwen3.8 27B | Lower output list price ($0.4/1M). |
| Voice / low-latency UI | Qwen3.8 27B | Lower TTFT (140 ms). |
| Long-document RAG | DeepSeek V4 Pro | Larger window (160k). |
| Screenshots / vision | DeepSeek V4 Pro | DeepSeek V4 Pro is the side marked multimodal in the catalog. |
Alibaba open-weight 27B drop. Local/open-weight lists should see it. It will not win frontier-agents.
Top DeepSeek vs top Anthropic Elo. Usually V4 Pro vs Opus 5. License and invoice decide as much as Elo.
2026-06 open-weight-adjacent flagship. The usual cheap-vs-Claude question starts here.
Jan 2025 reasoning model. Still searched. V4 Pro is the newer DeepSeek buy.
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Verified Head-to-Head Telemetry
launch · Aug 14, 2026
Qwen3.8 27B (Aug 14): dense enough to self-host, not a frontier MoE
compare · Jun 13, 2026
DeepSeek vs Claude: the cheap-versus-frontier question, remapped
launch · Jun 12, 2026
DeepSeek V4 Pro: high reasoning density per dollar
launch · Jan 20, 2025
DeepSeek R1 stays as the open-weights RL baseline